no code implementations • 15 Mar 2024 • Luca Grillotti, Maxence Faldor, Borja G. León, Antoine Cully
A key aspect of intelligence is the ability to demonstrate a broad spectrum of behaviors for adapting to unexpected situations.
1 code implementation • ICLR 2022 • Borja G. León, Murray Shanahan, Francesco Belardinelli
We address the problem of building agents whose goal is to learn to execute out-of distribution (OOD) multi-task instructions expressed in temporal logic (TL) by using deep reinforcement learning (DRL).
no code implementations • 2 Feb 2021 • Pierre El Mqirmi, Francesco Belardinelli, Borja G. León
Multi-agent reinforcement learning (RL) often struggles to ensure the safe behaviours of the learning agents, and therefore it is generally not adapted to safety-critical applications.
Multi-agent Reinforcement Learning reinforcement-learning +1
no code implementations • 12 Jun 2020 • Borja G. León, Murray Shanahan, Francesco Belardinelli
This work introduces a neuro-symbolic agent that combines deep reinforcement learning (DRL) with temporal logic (TL) to achieve systematic zero-shot, i. e., never-seen-before, generalisation of formally specified instructions.
1 code implementation • 14 Feb 2020 • Borja G. León, Francesco Belardinelli
The combination of Formal Methods with Reinforcement Learning (RL) has recently attracted interest as a way for single-agent RL to learn multiple-task specifications.
Multi-agent Reinforcement Learning reinforcement-learning +1